public void MachSoEinPaarConnectionsKlarVong(NeuronPosition pos, int count)
{
Random rnd = new Random();
for (int i = 0; i < count; ++i)
{
int layer1 = rnd.Next(1, neuron.Length);
int height1 = rnd.Next(neuron[layer1].Count);
neuron[layer1][height1].AddConnection(pos, Variablen.KuhleZufallsZahlen());
}
}
public void LayerKommplettVerbinden(NeuronPosition pos, int layer, double connectionProbatility, int delay)
{
Random rnd = new Random();
connectionProbatility /= 100;
for (int i = 0; i < neuron[layer].Count; ++i)
{
if (rnd.NextDouble() <= connectionProbatility)
{
neuron[layer][i].AddConnection(pos, Variablen.KuhleZufallsZahlen(), delay);
}
}
}
public void LayerKommplettVerbinden(NeuronPosition pos, int layer, double connectionPropatility) //fügt jedem Neuron in layer eine connection zu pos hinzu
{
Random rnd = new Random();
connectionPropatility /= 100;
for (int i = 0; i < neuron[layer].Count; ++i)
{
if (rnd.NextDouble() <= connectionPropatility)
{
neuron[layer][i].AddConnection(pos, Variablen.KuhleZufallsZahlen());
}
}
}
public Connection(NeuronPosition pos0)
{
Random rnd = new Random();
lastChange = 0;
int a = rnd.Next(100);
Pos = pos0;
Weight = Variablen.KuhleZufallsZahlen();
if (a > 7)
{
delay = 0;
}
else
{
delay = a;
}
time = new List <double>(new double[delay + 1]);
}
public void NeuronKommplettVerbinden(NeuronPosition pos, int layer, double connectionProbatility, int delay)
{
connectionProbatility /= 100;
Random rnd = new Random();
for (int i = 0; i < neuron[layer].Count; ++i)
{
if (rnd.NextDouble() < connectionProbatility)
{
neuron[pos.layer][pos.height].AddConnection(new NeuronPosition(layer, i), Variablen.KuhleZufallsZahlen(), delay);
}
}
}
